Instructions to use davanstrien/convnext-small-224-leicester_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/convnext-small-224-leicester_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/convnext-small-224-leicester_binary") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("davanstrien/convnext-small-224-leicester_binary") model = AutoModelForImageClassification.from_pretrained("davanstrien/convnext-small-224-leicester_binary") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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README.md
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metrics:
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- f1
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model-index:
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- name: convnext-small-224-leicester_binary
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results: []
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metrics:
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base_model: facebook/convnext-small-224
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model-index:
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- name: convnext-small-224-leicester_binary
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results: []
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